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Short Trade on PYTH

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Short Trade on PYTH 22 Sep 2025 at 18:17:15

Take profit at 0.1479 (0.67 %) and Stop Loss at 0.1494 (0.34 %)

Short Trade on PYTH

The 22 Sep 2025 at 18:17:15

With 16746.8079 PYTH at 0.1489$ per unit.

Position size of 2493.5997 $

Take profit at 0.1479 (0.67 %) and Stop Loss at 0.1494 (0.34 %)

That's a 2 RR Trade

Results

Status:
win
Trade Type:
sell
ML Trade Score: 40
ML Pullback Score: 5.28
Prediction Score: 3
Prediction 1 Probability
Weak Trade
0.84
Prediction 2 Probability
0 0.75
Prediction 3 Probability
1 0.73
BTC Market Regime Coin Market Regime

ml_regime : bear_low_vol

rules_regime : bear_medium

rules_regime_5m : range_low

1H_regime : bear_high

15m_regime : bear_medium

5m_regime : range_low
BTC Correlation Score

5m : 0.461949

15m : -0.005811

1H : 0.047671

 2

Signal

CatchTheWave Signal - sell

Indicators:

  1. long_trend: -1
  2. short_kc: True
  3. short_kc_percentage: 0.08
  4. atr: 0.000318468651
Details
  1. score: 1.08
  2. 1H
  3. ema9 : 0.148481
  4. ema21 : 0.151094
  5. ema50 : 0.157042
  6. ema100 : 0.162667
  7. price_ema9_diff : 0.00281649
  8. ema9_ema21_diff : -0.0172909
  9. ema21_ema50_diff : -0.0378731
  10. price_ema100_diff : -0.0846368
  11. all_emas_in_trend : True
  12. all_emas_and_price_in_trend : False
  13. ema_slope_9 : -0.198137
  14. ema_slope_21 : -0.310933
  15. ema_slope_50 : -0.271201
  16. ema_slope_100 : -0.192121
  17. rsi : 0.375179
  18. adx : 0.589738
  19. kc_percentage : 0.255898
  20. kc_width_percentage : 0.0534942
  21. volume_ema_diff : -0.648798
  22. volume_ema1 : 174304.27205236
  23. volume_ema2 : 496308.15849135
  24. chop : 65.3721
  25. regime : bear_high
    26. ¸
  26. 15m
  27. ema9 : 0.148247
  28. ema21 : 0.147994
  29. ema50 : 0.149127
  30. ema100 : 0.152251
  31. price_ema9_diff : 0.00439877
  32. ema9_ema21_diff : 0.00171175
  33. ema21_ema50_diff : -0.00759895
  34. price_ema100_diff : -0.0220122
  35. all_emas_in_trend : False
  36. all_emas_and_price_in_trend : False
  37. ema_slope_9 : 0.0423625
  38. ema_slope_21 : -0.00769742
  39. ema_slope_50 : -0.0475941
  40. ema_slope_100 : -0.0675427
  41. rsi : 0.593519
  42. adx : 0.269368
  43. kc_percentage : 0.882597
  44. kc_width_percentage : 0.01603
  45. volume_ema_diff : -0.705215
  46. volume_ema1 : 27574.400943436
  47. volume_ema2 : 93540.852295343
  48. chop : 45.156
  49. regime : bear_medium
    50. ¸
  50. 5m
  51. ema9 : 0.148624
  52. ema21 : 0.148187
  53. ema50 : 0.147887
  54. ema100 : 0.148323
  55. price_ema9_diff : 0.00185147
  56. ema9_ema21_diff : 0.00295434
  57. ema21_ema50_diff : 0.00202782
  58. price_ema100_diff : 0.0038838
  59. all_emas_in_trend : True
  60. all_emas_and_price_in_trend : True
  61. ema_slope_9 : 0.0639311
  62. ema_slope_21 : 0.0537904
  63. ema_slope_50 : 0.0244892
  64. ema_slope_100 : 0.00382136
  65. rsi : 0.674562
  66. adx : 0.353002
  67. kc_percentage : 1.08482
  68. kc_width_percentage : 0.00784887
  69. volume_ema_diff : -0.612347
  70. volume_ema1 : 7011.0008355719
  71. volume_ema2 : 18085.810130202
  72. chop : 52.153
  73. regime : range_low
    74. ¸
  74. btc_indicators
  75. btc_indicators
  76. 5m_ema100: 
    112652
  77. 5m_price_ema100_diff: 
    0.000403296
  78. 5m_price: 
    112698
  79. 5m_correlation_with_coin: 
    0.461949
  80. btc_indicators
  81. 15m_ema100: 
    113249
  82. 15m_price_ema100_diff: 
    -0.00486644
  83. 15m_price: 
    112698
  84. 15m_correlation_with_coin: 
    -0.005811
  85. btc_indicators
  86. 1H_ema100: 
    114943
  87. 1H_price_ema100_diff: 
    -0.0195314
  88. 1H_price: 
    112698
  89. 1H_correlation_with_coin: 
    0.047671
    90. ¸

Market Structure

Market Structure Score: 0

📌 Time Data

Start at Closed at Duration
22 Sep 2025
18:17:15		 22 Sep 2025
19:20:00		 1 hour

📌 Entry & Exit

Entry Stop Loss Take Profit RR Current Price
0.1489 0.1494 0.1479 2 0.052
Details
Click the "Sign Up" button in the top right corner and follow the registration process.

Pour calculer le Risk-Reward Ratio (RRR) sur un trade short, on utilise la formule :

RRR = Distance jusqu'au Take Profit ÷ Distance jusqu'au Stop Loss

Détails du trade:

  • Entry 0.1489
  • Stop Loss: 0.1494
  • Take Profit: 0.1479

Calcul:

  • Risque (distance jusqu'au stop loss) :

    SL - E = 0.1494 - 0.1489 = 0.0005

  • Récompense (distance jusqu'au take profit):

    E - TP = 0.1489 - 0.1479 = 0.001

  • Risk-Reward Ratio:

    RRR = TP_DIST / SL_DIST = 0.001 / 0.0005 = 2

📌 Position Size

Amount Margin Quantity Leverage
2493.5997 100 16746.8079 24.94
Details

1. Déterminer le montant risqué sur ce trade

Risk Amount = Capital x Risk per trade

Paramètres:

  • Account Size 100
  • Risk per trade 8 %

Risk Amount = 100 x 0.08 = 8

Donc, tu es prêt à perdre 8$ maximum sur ce trade

2. Calcul Risk per Share / Nombre d'unité à acheter

Taille de position = Risk Amount / Distance Stop Loss

Taille de position USD = Taille de position x Entry Price

Paramètres:

  • Risk Amount 8
  • Distance Stop Loss 0.0005

Taille de position = 8 / 0.0005 = 16000

Taille de position USD = 16000 x 0.1489 = 2382.4

Donc, tu peux acheter 16000 avec un stoploss a 0.1494

Avec un position size USD de 2382.4$

3. Calcul de la PERTE potentielle

Perte = Taille de position x Distance Stop Loss

Perte = 16000 x 0.0005 = 8

Si Stop Loss atteint, tu perdras 8$

4. Calcul du GAIN potentielle

Gain = Taille de position x Distance Take Profit

Perte = 16000 x 0.001 = 16

Si Take Profit atteint, tu gagneras 16$

Résumé

  • Taille de position 16000
  • Taille de position USD 2382.4
  • Perte potentielle 8
  • Gain potentiel 16
  • Risk-Reward Ratio 2

📌 Peformances

TP % Target TP $ Target
0.67 % 16.75 $
SL % Target SL $ Target
0.34 % 8.37 $
PNL PNL %
16.75 $ 0.67
Max Drawdown Max Drawdown / SL Ratio Candles in Entry
0 % 0 % 4

📌 ML Extra Data

Extra TP Data

                              Array
(
    [2] => Array
        (
            [take_profit] => 0.1479
            [stop_loss] => 0.1494
            [rr_ratio] => 2
            [closed_at] => 2025-09-22 19:20:00
            [result] => win
        )

    [2.5] => Array
        (
            [take_profit] => 0.14765
            [stop_loss] => 0.1494
            [rr_ratio] => 2.5
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [3] => Array
        (
            [take_profit] => 0.1474
            [stop_loss] => 0.1494
            [rr_ratio] => 3
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [3.5] => Array
        (
            [take_profit] => 0.14715
            [stop_loss] => 0.1494
            [rr_ratio] => 3.5
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [4] => Array
        (
            [take_profit] => 0.1469
            [stop_loss] => 0.1494
            [rr_ratio] => 4
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [4.5] => Array
        (
            [take_profit] => 0.14665
            [stop_loss] => 0.1494
            [rr_ratio] => 4.5
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [5] => Array
        (
            [take_profit] => 0.1464
            [stop_loss] => 0.1494
            [rr_ratio] => 5
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [5.5] => Array
        (
            [take_profit] => 0.14615
            [stop_loss] => 0.1494
            [rr_ratio] => 5.5
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [6] => Array
        (
            [take_profit] => 0.1459
            [stop_loss] => 0.1494
            [rr_ratio] => 6
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [6.5] => Array
        (
            [take_profit] => 0.14565
            [stop_loss] => 0.1494
            [rr_ratio] => 6.5
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

    [7] => Array
        (
            [take_profit] => 0.1454
            [stop_loss] => 0.1494
            [rr_ratio] => 7
            [closed_at] => 2025-09-22 20:15:00
            [result] => loss
        )

)
Extra SL data

                              Array
(
)
Extra Pullback data

                              Array
(
    [short_term] => Array
        (
            [max_gain] => 0.001
            [max_drawdown] => 0.0008
            [rr_ratio] => 1.25
            [high] => 0.14970000
            [low] => 0.14790000
            [mfe_pct] => 0.67
            [mae_pct] => 0.54
            [mfe_mae_ratio] => 1.25
            [candles_analyzed] => 24
            [start_at] => 2025-09-22T18:17:15-04:00
            [end_at] => 2025-09-22T20:17:15-04:00
        )

    [long_term] => Array
        (
            [max_gain] => 0.0057
            [max_drawdown] => 0.0015
            [rr_ratio] => 3.8
            [high] => 0.15040000
            [low] => 0.14320000
            [mfe_pct] => 3.83
            [mae_pct] => 1.01
            [mfe_mae_ratio] => 3.8
            [candles_analyzed] => 84
            [start_at] => 2025-09-22T18:17:15-04:00
            [end_at] => 2025-09-23T01:17:15-04:00
        )

    [breakout] => Array
        (
            [high_before] => 0.14890000
            [high_after] => 0.15040000
            [low_before] => 0.14560000
            [low_after] => 0.14320000
            [is_new_high] => 
            [is_new_low] => 1
        )

)